data strategy

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Published By: IBM     Published Date: Jan 05, 2015
As the number of connected devices grows from billions to hundreds of billions, and as governments and corporations race to take control of devices and data, we need to save the Internet of Things (IoT). Successfully scaling the IoT means executives must rethink the technology strategy.
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it strategy, modern computing, iot, cost of computing, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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it trends, mobile technology, social collaborition, data analytics, big data, data center strategy, it management, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
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telematics, ibm, insurance, big data, comprehensive solutions
    
IBM
Published By: IBM     Published Date: Apr 07, 2015
Using data to reinvent one’s business has reached the mainstream. Data and analytics allow us to change the world around us: it gives us insights into what is happening, allowing us to optimize our strategy, create new business opportunities, and make more accurate predictions.
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ibm, data management, analytics, insights, optimization strategy, predictions
    
IBM
Published By: IBM     Published Date: Apr 09, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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data security, ibm, ibm infosphere, privacy strategy, big data security, security, it management, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Apr 23, 2015
With IBM analytics for big data with a smart mobile strategy, banks can increase wallet share and assets under management while lowering the organization’s operating ratio by using more efficient channels.
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ibm, analytics, efficiencies, digital banking, management, strategy, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies, virtualization, automation
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe
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big data security, data privacy, data protection, sensitive data, data risk management, vulnerability management, ibm solutions, data breaches, compliance
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
The Forrester Wave.
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big data, analytics solutions, evaluate, analytical data, strategy
    
IBM
Published By: IBM     Published Date: Jun 23, 2015
Watch this webinar to hear the VP of Enterprise Data Management for Sutter Health, Vijay Venkatesan describe the challenges and successes that Sutter Health faced in driving their enterprise wide data strategy.
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ibm, customer data, customer insight, data management, medical records, medical intelligence
    
IBM
Published By: IBM     Published Date: Oct 02, 2015
This ebook outlines four steps to develop a proactive approach to data security and privacy that will help you keep big data safe, and shows how IBM InfoSphere solutions can help protect data while giving your staff the right levels of access to do their jobs efficiently and accurately.
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ibm, big data, data security, privacy strategies, ibm infosphere, security, it management, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action?
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talent analytics, ibm, big data, strategy
    
IBM
Published By: IBM     Published Date: Apr 12, 2016
The digital transformation that organizations are striving for today requires a mindset of "no limits" in terms of securely exposing critical business assets for internal and external consumption. In order to be an agile, digital business, enterprises need to seamlessly connect across hybrid environments, applications, data and processes, keeping a keen eye on an open cloud strategy. They also need a secure integration framework to provide controlled access, a single dashboard providing performance insights, and easy access to digital assets for your developers. This webcast will explore all of these areas in depth, to support your enterprise's quest to become a next-generation digital business.
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ibm, digital business, api economy, api management, apim, api, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
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ibm, trusted data, data optim, big data, hybrid data environments, data management
    
IBM
Published By: IBM     Published Date: Apr 22, 2016
Developing a data integration and lifecycle management strategy for a hybrid environment This e-book focuses on building and executing a data integration and lifecycle management strategy.
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ibm, think data, integration, lifecycle strategy, ibm analytics, knowledge management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
How can your organization realize the financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? The answer is governance. Download to read more.
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ibm, big data, trusted data, data management, data solutions, data center
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
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ibm, trusted data, data optim, big data, hybrid data environments, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
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ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi, security
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
This infographic explains how to build your big data strategy on a solid foundation.
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ibm, analytics, big data, strategy, software development, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Use big data to build an integrated, more personalized approach to marketing, business strategy, customer service and more.
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ibm, analytics, data, mdm, ibm software, business strategy, customer service, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
Tags : 
ibm, trusted data, data governance, governance, big data, hybrid data environments, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars: - Broad agreement on what information means - Clear agreement on how owned information assets will be maintained and monitored - Standard practices for securing strategic information assets - Enterprise data integration strategy
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ibm, trusted data, big data, governance, data governance, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
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ibm, mobile, mobile security, devices, platform to device, networking, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
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ibm, cloud, mobility, enterprise, mobile applications, mobile application strategy, networking, enterprise applications
    
IBM
Published By: IBM     Published Date: Nov 08, 2016
Read this report to learn more on the future of IoT.
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ibm, cloud, middleware, iot, data integration, enterprise applications, business technology
    
IBM
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